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In parts of the world without centralized electricity distribution models or in cases where “off-grid” applications are desirable, distributed power generation installations can directly serve customer needs. Solar, wind, and thermal generation sources, coupled with energy storage systems and intelligent controls, are particularly competitive technologies in regions that rely on fossil fuels to produce electricity for medium-sized and small communities. This is especially true in parts of the Caribbean, Latin America, India, Africa, and elsewhere in the developing world.

Over Yonder Cay was developed with the goal of producing renewable energy at a cost lower than that of conventional thermal power generation (diesel, heavy fuel oil, etc.). The island is currently achieving a 96% renewable penetration while also producing its own remineralized water whenever excess renewable power is available, further reducing its environmental impact.

Over Yonder Cay’s commitment to green energy technology is ongoing, founded on continual research and development related to remote integrated renewable energy systems and micro grids.

Most recently, Over Yonder Cay’s core R&D efforts have focused on the optimization of its Intelligent Micro Grid Controller Software Platform. The Intelligent Controller uses island weather forecasts to apportion energy production between wind and solar sources. The resulting production forecast, when combined with the island’s demand (load) forecast and battery storage model, allows for automated and intelligent manipulation of deferrable loads (water production, pool heating, etc.) while governing the operations of its generators.

The Intelligent Micro Grid Controller works in conjunction with a monetary optimization engine to enhance power profitability. The person behind this innovative idea is Dr. Ed Bosarge, who, through the Over Yonder Cay Scientific Research and Development Team, provided both the vision and the funding that made the technology possible. The use of advanced analytics to forecast levels of renewable energy production, gauge demand, and estimate weather-related variables creates economic and practical efficiencies far beyond the capacity of current systems that rely on human intuition.